b) In a study to determine whether the height of time (in months) that a person has been employed with a company is related to hourly pay, the following data were obtained: 45 32 24 29 26 22 15 Length...


b) In a study to determine whether the height of time (in months) that a person has been<br>employed with a company is related to hourly pay, the following data were obtained:<br>45<br>32<br>24<br>29<br>26<br>22<br>15<br>Length<br>(X<br>months)<br>Hourly<br>35<br>38<br>5<br>17<br>18<br>20<br>24<br>35<br>33<br>38<br>50<br>рay<br>|($Y)<br>Determine<br>i) The Spearman's Rank Correlation Coefficient.<br>ii) The Pearson Product Moment Correlation Coefficient.<br>Fit a linear regression Model of the form ý = Bo + B1x<br>(7 marks)<br>(7 marks)<br>iii)<br>iv)<br>(7 marks)<br>(2 marks)<br>From b iii) above, find X when Y=74.5<br>

Extracted text: b) In a study to determine whether the height of time (in months) that a person has been employed with a company is related to hourly pay, the following data were obtained: 45 32 24 29 26 22 15 Length (X months) Hourly 35 38 5 17 18 20 24 35 33 38 50 рay |($Y) Determine i) The Spearman's Rank Correlation Coefficient. ii) The Pearson Product Moment Correlation Coefficient. Fit a linear regression Model of the form ý = Bo + B1x (7 marks) (7 marks) iii) iv) (7 marks) (2 marks) From b iii) above, find X when Y=74.5

Jun 10, 2022
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